Remote Data Engineering Manager Jobs
Remote data engineering manager jobs are in active demand at remote-first firms and distributed engineering teams across the U.S., with strong hiring in tech, fintech, and healthcare data. Employers posting remote openings right now include AECOM, Optum, and Netflix. Scan the live roles below and apply to whichever ones fit.
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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Principal Data Engineer within the Enterprise Data & Analytics organization under the Chief Data Office, you will serve as a technical subject matter expert leading the architectural design, implementation, and optimization of scalable enterprise data solutions. In this role, you will partner closely with product owners, business stakeholders, and analytics teams to engineer reliable, end-to-end data pipelines across staging, integration, and consumption layers using technologies such as Azure Data Factory, Snowflake, DBT, Python, and metadata-driven frameworks. You will leverage approved AI tools to streamline routine engineering tasks and elevate operational efficiency, while mentoring engineering staff, establishing engineering best practices, and driving continuous technical innovation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
- Design, develop, and maintain end-to-end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata-driven frameworks
- Develop and optimize high-performance SQL queries, views, and stored procedures to support analytics and reporting, and provide guidance to analytics team members on effective and cost-efficient usage
- Architect, develop, and support data integration processes including batch file ingestion and automated extracts
- Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
- Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design
- Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
- Continuously evaluate and improve data quality, monitoring, and operational efficiencies
- Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
- Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
- Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team
- Demonstrate strong analytical and troubleshooting skills to diagnose pipeline failures, data anomalies, and performance bottlenecks
- Utilize enterprise-approved AI tools to streamline workflows, automate repetitive tasks, and increase overall engineering productivity
- Evaluate emerging tech trends to inform continuous improvement, strategic innovation, and efficient solution design
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- Bachelor's degree or equivalent work experience of 12+ years
- 12+ years of hands-on data engineering experience, with an emphasis on enterprise data warehousing and ETL architectures
- 8+ years of ETL development experience designing and building pipelines and dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata-driven designs
- 8+ years of experience using Snowflake database, including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities
- 8+ years of experience with GitHub version control systems including code merges and cross-environment deployments using CI/CD pipelines
- 8+ years of Python experience, particularly for data processing, orchestration, or validation workflows
- 5+ years of experience designing or consuming APIs and service-based integrations (REST) within Snowflake or ADF-based workflows
- 5+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on the Azure platform
- 5+ years of Experience processing both structured and semi-structured data (e.g., fixed-width files, delimited files, JSON, XML)
- 5+ years of hands-on experience in React front-end development, including designing and implementing complex visualization components and dashboards.
Preferred Qualifications:
- Hands-on expertise in Power BI, including DAX, semantic model design, and performance tuning
- .NET development experience
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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Find JobsRemote Data Engineering Manager Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Retail
- Manufacturing
- Medical Devices
What Employers Look For
The qualifications that appear most often in remote data engineering manager jobs.
- 5 or more years of experience in data engineering with at least 2 years in a management role
- Proficiency with cloud platforms such as AWS, GCP, or Azure and their managed data services
- Hands-on experience building and maintaining batch and streaming data pipelines at production scale
- Familiarity with modern data stack tools including dbt, Airflow, Spark, Kafka, or equivalent
- Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Data Engineering Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data engineering manager openings from across the U.S. in one place. Check regularly and apply directly to the roles that match your stack and team-size experience before postings close.
Document your async leadership style clearly
Remote hiring managers look for evidence you can lead without in-person oversight. Write up how you run sprint reviews, make architecture decisions, and unblock engineers asynchronously. Put this in your resume summary or a short leadership statement.
Show your data platform depth upfront
Remote data engineering manager roles move fast in screening. List your hands-on experience with orchestration tools like Airflow or Dagster, transformation layers like dbt, and cloud warehouses like BigQuery or Snowflake in the first third of your resume.
Prepare for written take-home assessments
Many remote-first companies replace live whiteboard rounds with written design exercises. Practice writing a clear data architecture proposal or incident postmortem in plain language, because remote employers treat your written output as a direct signal of how you'll communicate on the job.
Remote Data Engineering Manager Jobs: Frequently Asked Questions
How do I get a remote data engineering manager job?
Target companies built around distributed teams: remote-first SaaS firms, cloud-native startups, and data-heavy enterprises that run engineering entirely across time zones. Remote employers screen hard for async written communication, self-direction, and hands-on depth in tools like dbt, Spark, Airflow, and cloud data platforms. A portfolio of shipped pipelines, documented decisions, and cross-functional impact written up clearly will separate you from candidates with similar titles.
Which companies hire remote data engineering managers?
Remote data engineering manager roles are posted by AECOM, Optum, and Netflix and others right now, based on current remote listings on Migrate Mate as of August 2026. Remote-first tech companies, fintech platforms, and healthcare data organizations make up the largest share of these postings, since their engineering teams are already distributed by design.
Can you get a remote data engineering manager job with no experience?
Yes, but remote data engineering manager roles without prior management experience are harder to land because remote work demands independent judgment from day one. Early paths include leading small data projects at a startup, taking on unofficial team-lead responsibilities in a current role, or building a visible record of technical mentorship. Remote-first companies hiring junior managers look for proof of self-direction and documented outcomes more than a formal management title.
Do you need a degree for remote data engineering manager jobs?
Not always. Remote employers hiring data engineering managers weigh demonstrated engineering output, pipeline architecture decisions, and team leadership results alongside or instead of a degree. A strong GitHub history, certifications in cloud platforms like AWS or GCP, and a record of managing or growing data engineers carry real weight. Several remote-first firms explicitly list degrees as preferred rather than required.
Which industries hire the most remote data engineering managers?
The sectors hiring the most remote data engineering managers are Technology & Software, Healthcare & Medical Services, and Retail, based on current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed engineering teams that process data at scale, making remote data engineering manager hires a practical fit rather than an exception.
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